Construction of Information Security Platform for University Teaching Staff Combined with Data Collection

Abstract

The teaching staff management information system is an important guarantee to realize the scientific and standardized management of teacher staffs in colleges and universities, and it plays a very important role in the process of school information construction. In order to improve the data processing effect of the construction of teaching staff in colleges and universities and improve the rational configuration of teaching staff, this paper combines intelligent data clustering method to process the data of teaching staffs in colleges and universities, and proposes a teacher evaluation method based on fuzzy C-means clustering algorithm. The purpose is to dig out all aspects of factors that affect teachers' teaching ability, so as to evaluate teachers in many aspects and objectively. Secondly, this paper proposes a teaching staff allocation model, and uses the discrete binary particle swarm optimization algorithm to optimize the solution. Finally, this paper validates the effectiveness of the proposed method through experimental research, so we can use this model for auxiliary data processing in the follow-up construction of teaching staff in colleges and universities.